LEADER 04247nam  22007455  450 
001 9910595049503321
005 20251009103421.0
010   $a9783031087431$b(electronic bk.)
010   $z9783031087424
024 7 $a10.1007/978-3-031-08743-1
035   $a(MiAaPQ)EBC7088291
035   $a(Au-PeEL)EBL7088291
035   $a(CKB)24846058600041
035   $a(PPN)264953606
035   $a(DE-He213)978-3-031-08743-1
035   $a(OCoLC)1346156812
035   $a(EXLCZ)9924846058600041
100   $a20220916d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial Intelligence and Heuristics for Enhanced Food Security /$fby Chandrasekar Vuppalapati
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (910 pages)
225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v331
311 08$aPrint version: Vuppalapati, Chandrasekar Artificial Intelligence and Heuristics for Enhanced Food Security Cham : Springer International Publishing AG,c2022 9783031087424 
327   $aPart 1: Introduction to Artificial Intelligence and Heuristics -- 1. Introduction -- 2. Heuristics -- 3. Data Engineering Techniques for Machine Learning and Heuristics -- Part 2: Food Security Machine Learning and Heuristics Models -- 4. Food Security -- 5. Food Security ? Quality and Safety Drivers -- 6. ML Models - Food Security and Climate Change -- Part 3: Linkage Models -- 7. Food Security and Advanced Imaging Radiometer ML Models -- 8. Composite Models - Food Security and Natural Resources -- 9. Linkage Models: Economic Key Drivers and Agricultural Production -- 10. Heuristics and Agricultural Production Modeling- Part IV: Conclusion -- 11. Future.
330   $aThis book introduces readers to advanced data science techniques for signal mining in connection with agriculture. It shows how to apply heuristic modeling to improve farm-level efficiency, and how to use sensors and data intelligence to provide closed-loop feedback, while also providing recommendation techniques that yield actionable insights. The book also proposes certain macroeconomic pricing models, which data-mine macroeconomic signals and the influence of global economic trends on small-farm sustainability to provide actionable insights to farmers, helping them avoid financial disasters due to recurrent economic crises. The book is intended to equip current and future software engineering teams and operations research experts with the skills and tools they need in order to fully utilize advanced data science, artificial intelligence, heuristics, and economic models to develop software capabilities that help to achieve sustained food security for future generations.
410  0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v331
606   $aOperations research
606   $aFood security
606   $aArtificial intelligence
606   $aMathematical optimization
606   $aProduction management
606   $aData mining
606   $aOperations Research and Decision Theory
606   $aFood Security
606   $aArtificial Intelligence
606   $aOptimization
606   $aOperations Management
606   $aData Mining and Knowledge Discovery
615  0$aOperations research.
615  0$aFood security.
615  0$aArtificial intelligence.
615  0$aMathematical optimization.
615  0$aProduction management.
615  0$aData mining.
615 14$aOperations Research and Decision Theory.
615 24$aFood Security.
615 24$aArtificial Intelligence.
615 24$aOptimization.
615 24$aOperations Management.
615 24$aData Mining and Knowledge Discovery.
676   $a338.10285
676   $a338.10285
700   $aVuppalapati$b Chandrasekar$01072873
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910595049503321
996   $aArtificial Intelligence and Heuristics for Enhanced Food Security$92916063
997   $aUNINA